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computing and reproducible research. (Optional) Experience in time-series analysis, with explicit attention to intraday temporal resolution. Background in network science, statistical physics and complex
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complex environments. Specifically, we are looking for Postdoctoral researchers to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested, neuromechanical
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://medicine.yale.edu/profile/steven-k-reilly/(Link is external) Position Summary The Reilly Lab seeks highly motivated Postdoctoral Associates to join an interdisciplinary research program focused on understanding how
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
phase kinetics and photochemistry are studied in the laboratory, producing experimentally derived parameters to drive complex computer models that simulate the atmospheric chemistry of interest
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- 00:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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their academic career, who demonstrates strong work ethic, exceptional initiative, and an innovative, analytical approach to solving complex scientific problems. The position will involve analysis of DNA
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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, for children presenting with more complex needs. Develops and leads a follow-up study protocol to capture systematic longitudinal outcome data on children served through the Early Discovery program, including
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. The Postdoctoral Associate must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in
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. They must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular